easysam / AutoformerLinks
Implementation of the paper "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting", https://arxiv.org/abs/2106.13008
☆19Updated 4 years ago
Alternatives and similar repositories for Autoformer
Users that are interested in Autoformer are comparing it to the libraries listed below
Sorting:
- ☆57Updated 4 years ago
- ☆17Updated 6 years ago
- Multivariate time series representation learning (using bert-like model adapted for TS)☆16Updated 4 years ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆33Updated 4 years ago
- Source codes for Time2Graph+ model.☆35Updated 4 years ago
- ☆42Updated 3 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 4 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Updated 4 years ago
- Multi-scale Two-way Deep Neural Network☆43Updated 5 years ago
- Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based M…☆23Updated 4 years ago
- Update Code for Modeling Long and Short-Term Temporal Patterns with Deep Neural Networks.(https://arxiv.org/abs/1703.07015)☆31Updated 6 years ago
- Rank1st Solution of PCIC 2021: Causal Inference and Recommendation☆12Updated 3 years ago
- Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting☆218Updated 3 years ago
- Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting☆33Updated 3 years ago
- Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.☆77Updated 4 years ago
- ☆40Updated 2 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting☆31Updated 2 years ago
- PCIC 2021 Track1: Causal Discovery☆25Updated 4 years ago
- This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…☆29Updated 4 months ago
- Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction☆61Updated last year
- ☆17Updated 2 months ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆25Updated 3 years ago
- ☆107Updated 4 years ago
- ☆42Updated 5 years ago
- Stock price forecasting stuff with BERT☆33Updated 5 years ago
- ☆24Updated 4 years ago
- ☆20Updated 3 months ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆133Updated 3 years ago
- 强化学习进行量化金融☆40Updated 3 years ago